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Identifying Talent Attributes for Talent Management in Automotive Industry in Turkey

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Industrial Engineering in the Big Data Era

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

Abstract

Talent management has become an increasingly popular area in the human resource management. Over the past decade, talent management has gained importance and become an effective tool for organizations that want to have a competitive advantage and achieve maximum organizational performance. For a successful talent management process, organizations need to identify talent attributes or in other words characteristics that a talented employee should have. The main purpose of this study is to define talent attributes in the automotive industry in Turkey through a qualitative research. Within the scope of the study, in-depth interviews were carried out with the participation of 20 employees who works in different companies that operates in the automotive industry in Turkey. 29 talent attributes were identified as a result of face-to-face in-depth interviews.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Aylin Ozel & Gaye Karacay

Authors
  1. Aylin Ozel
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  2. Gaye Karacay
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Corresponding author

Correspondence to Gaye Karacay .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Fethi Calisir

  2. Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Emre Cevikcan

  3. Department of Management Engineering, Istanbul Technical University, Macka, Istanbul, Turkey

    Hatice Camgoz Akdag

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Ozel, A., Karacay, G. (2019). Identifying Talent Attributes for Talent Management in Automotive Industry in Turkey. In: Calisir, F., Cevikcan, E., Camgoz Akdag, H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-03317-0_24

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  • DOI: https://doi.org/10.1007/978-3-030-03317-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03316-3

  • Online ISBN: 978-3-030-03317-0

  • eBook Packages: EngineeringEngineering (R0)

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